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» The Predictability of Data Values
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CSDA
2007
100views more  CSDA 2007»
15 years 6 months ago
Convergence of random k-nearest-neighbour imputation
Random k-nearest-neighbour (RKNN) imputation is an established algorithm for filling in missing values in data sets. Assume that data are missing in a random way, so that missing...
Fredrik A. Dahl
RECOMB
2001
Springer
16 years 6 months ago
Towards predicting coiled-coil protein interactions
Protein-protein interactions play a central role in many cellular functions, and as whole-genome data accumulates, computational methods for predicting these interactions become i...
Mona Singh, Peter S. Kim
BICOB
2009
Springer
15 years 11 months ago
A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...
Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen...
CIKM
2011
Springer
14 years 6 months ago
Structural link analysis and prediction in microblogs
With hundreds of millions of participants, social media services have become commonplace. Unlike a traditional social network service, a microblogging network like Twitter is a hy...
Dawei Yin, Liangjie Hong, Brian D. Davison
ICCV
1999
IEEE
16 years 8 months ago
Prediction Error as a Quality Metric for Motion and Stereo
This paper presents a new methodology for evaluating the quality of motion estimation and stereo correspondence algorithms. Motivated by applications such as novel view generation...
Richard Szeliski